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I’ve had quite a lot of conversations about AI over the previous couple years—some insightful, some overhyped, and some that left me questioning whether or not we’re even speaking about the identical know-how. However from time to time, I get the chance to sit down down with somebody who not solely understands the know-how but in addition sees its broader implications with readability and honesty. This episode of the TechSpective Podcast is a kind of moments.
Jeetu Patel, President and Chief Product Officer at Cisco, joins me for an unscripted, unfiltered dialog that covers extra floor than I might have outlined in a set of pre-written questions. Truly, I did draft a set of pre-written questions. We simply didn’t comply with or use them in any respect. Jeetu and I’ve recognized one another for some time, and this episode displays the type of dialog you solely get with somebody who’s deeply immersed in each the strategic and human sides of tech. It’s considerate. It’s philosophical. And it doesn’t pull punches.
On the middle of our dialogue is the idea of “agentic AI”—a time period that’s getting used extra steadily, typically with out a lot readability. We unpack what it really means, what it will possibly realistically do, and the way it differs from the wave of chatbots and content material turbines that got here earlier than it. Extra importantly, we discuss how these AI brokers may change not simply the duties we automate, however how we take into consideration work itself.
In fact, with any dialog about AI and the way forward for work comes the inevitable stress: what will get misplaced, what will get reimagined, and what nonetheless requires distinctly human judgment. Jeetu brings a nuanced take to this, rooted in his expertise main product innovation at one of many world’s largest tech corporations. It’s not a dialog full of predictions a lot as it’s a reframing of the questions we needs to be asking.
What stood out to me is how rapidly we normalize the extraordinary. A know-how that felt magical two years in the past is now embedded in our every day workflows. That pace of adoption adjustments the stakes. It means we have to be extra deliberate—not nearly what AI can do, however what we wish it to do, and what we threat offloading too rapidly.
We additionally contact on the philosophical implications. If AI brokers actually can deal with extra of the cognitive heavy lifting, what’s our function within the loop? Can we turn into editors? Overseers? Explorers of latest frontiers? And the way will we put together for jobs that don’t exist but, utilizing instruments which are evolving sooner than we will doc them?
I believe this episode will resonate with anybody making an attempt to navigate this second—whether or not you’re in product growth, coverage, advertising and marketing, or simply somebody who likes to suppose just a few strikes forward. It’s about greater than AI. It’s about how we adapt, how we outline worth, and what we select to carry onto because the panorama shifts.
Give it a pay attention. And as all the time, I’d love to listen to your ideas.
